Formants in speech signals are easily identified, largely because formants are defined to be
local maxima in the wideband sound spectrum. Sadly, this is not what is of most interest in …

In this study, formant tracking is investigated by refining the formants tracked by an existing
data-driven tracker, DeepFormants, using the formants estimated in a model-driven manner …

The estimation of formant frequencies from acoustic speech signals is mostly based on
Linear Predictive Coding (LPC) algorithms. Since LPC is based on the source-filter model of …

2. Methods To model patterns that resemble those in the literature, we synthesized multiple
vowels based on four studies (see Sec. 2.1). The formant frequencies were fixed at specific …

In a Fourier transform infrared (IR) spectrometer, the Michelson interference signal
extrapolation method based on linear prediction is often used to improve spectral resolution …

This paper aims to show how to improve the accuracy of formant frequency estimation in the
singing voice of a lyric soprano. Conventional methods of formant frequency estimation may …

Formant tracking is an area of speech science that has recently undergone a technology
shift from classical model-driven signal processing methods to modern data-driven deep …

This study introduces the weighted linear prediction adapted to high-pitched singing voices
(WLP-HPSV) method for accurately estimating formant frequencies of vowels sung by lyric …

This paper improves the performance of linear prediction (LP) in precise spectral estimation
of bone-conducted (BC) speech. Inherently, BC speech contains a wide spectral dynamic …

Formant tracking is investigated in this study by using trackers based on dynamic
programming (DP) and deep neural nets (DNNs). Using the DP approach, six formant …